Title: Beverages Preferences Ratings
Introduction:
Beverages are essential to our daily routines, providing refreshment and enjoyment. This report examines four popular options: coffee, tea, juice, and soft drinks. Each beverage offers unique flavors and cultural significance, influencing consumer preferences. By analyzing these drinks, we aim to uncover insights into current trends and consumer behavior in the beverage industry.
Author: Deepti Jagannath Meher (021330024122), ITM Skills University.
Objective:
To compare the four different types of beverage preferences.
Data collection:
Individual participants provided ratings for coffee, tea, juice, and soft drinks on a scale of 1 to 10. Each rating was collected independently to reflect personal preferences, ensuring an unbiased analysis of consumer tastes and trends across the beverages.
Data analysis:
The ratings were then compiled to analyze consumer preferences using ANOVA: single factor, allowing for statistical evaluation of differences in beverage preferences.
The hypothesis for the test are:
- Null Hypothesis (H0): It states that all beverage preferences are the same.
- Alternative Hypothesis (H1): It indicate that at least one beverage is rated significantly differently.
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Anova: Single Factor |
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SUMMARY |
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Groups |
Count |
Sum |
Average |
Variance |
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How would you rate Coffee on a scale of 1 to 10? |
20 |
140 |
7 |
10.526 |
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How would you rate Tea on a scale of 1 to 10? |
20 |
118 |
5.9 |
10.937 |
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How would you rate Juice on a scale of 1 to 10? |
20 |
156 |
7.8 |
6.800 |
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How would you rate Soft Drinks on a scale of 1 to 10? |
20 |
105 |
5.25 |
8.408 |
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ANOVA |
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Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
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Between Groups |
77.2375 |
3 |
25.746 |
2.808 |
0.045 |
2.725 |
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Within Groups |
696.75 |
76 |
9.168 |
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Total |
773.9875 |
79 |
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Since the P-value is 0.045 is less than the significance level of 0.05, we accept the Alternative Hypothesis.
Conclusion:
The ANOVA: single factor analysis yielded a P-value less than 0.05, leading to rejecting the Null Hypothesis. This confirms that at least one beverage—coffee, tea, juice, or soft drinks—has a significantly different preference level among respondents.